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Parsimony, not Bayesian analysis, recovers more stratigraphically congruent phylogenetic trees.
Sansom, Robert S; Choate, Peter G; Keating, Joseph N; Randle, Emma.
Afiliação
  • Sansom RS; School of Earth and Environmental Sciences, University of Manchester, Manchester M13 9PT, UK robert.sansom@manchester.ac.uk.
  • Choate PG; Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PT, UK.
  • Keating JN; School of Earth and Environmental Sciences, University of Manchester, Manchester M13 9PT, UK.
  • Randle E; School of Earth and Environmental Sciences, University of Manchester, Manchester M13 9PT, UK.
Biol Lett ; 14(6)2018 06.
Article em En | MEDLINE | ID: mdl-29925561
ABSTRACT
Reconstructing evolutionary histories requires accurate phylogenetic trees. Recent simulation studies suggest that probabilistic phylogenetic analyses of morphological data are more accurate than traditional parsimony techniques. Here, we use empirical data to compare Bayesian and parsimony phylogenies in terms of their congruence with the distribution of age ranges of the component taxa. Analysis of 167 independent morphological data matrices of fossil tetrapods finds that Bayesian trees exhibit significantly lower stratigraphic congruence than the equivalent parsimony trees. As such, taking stratigraphic data as an independent benchmark indicates that parsimony analyses are more accurate for phylogenetic reconstruction of morphological data. The discrepancy between simulated and empirical studies may result from historic data peaking practices or some complexities of empirical data as yet unaccounted for.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Filogenia / Vertebrados / Teorema de Bayes Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Biol Lett Assunto da revista: BIOLOGIA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Filogenia / Vertebrados / Teorema de Bayes Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Biol Lett Assunto da revista: BIOLOGIA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Reino Unido